The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database

Authors: Elbers, Danne C., Fillmore, Nathanael R., Sung, Feng-Chi, Ganas, Spyridon S., Prokhorenkov, Andrew, Meyer, Christopher, Hall, Robert B., Ajjarapu, Samuel J., Chen, Daniel C., Meng, Frank, Grossman, Robert L., Brophy, Mary T., Do, Nhan V.

Source: In Patterns 11 September 2020 1(6)

Towards self-describing and FAIR bulk formats for biomedical data.

Authors: Lukowski, Michael¹ (AUTHOR), Prokhorenkov, Andrew¹ (AUTHOR), Grossman, Robert L.^1,2,3 (AUTHOR) rgrossman1@uchicago.edu

Source: PLoS Computational Biology. 3/13/2023, Vol. 19 Issue 3, p1-12. 12p. 2 Diagrams, 6 Charts.

Subject Terms: *SOFTWARE development tools, *DATA dictionaries, *OPEN source software, *SQL

Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons.

Authors: Hernandez, Kyle M., Venkat, Aarti, Elbers, Danne C., Bihn, John R., Brophy, Mary T., Do, Nhan V., La, Jennifer, Qiong Liu, Prokhorenkov, Andrew, Metoki-Shlubsky, Noah, Feng-Chi Sung, Paller, Channing J., Fillmore, Nathanael R., Grossman, Robert L.

Source: Cold Spring Harbor Molecular Case Studies; Dec2023, Vol. 9 Issue 4, p1-13, 13p

Subject Terms: PROSTATE cancer, VETERANS, HIERARCHICAL clustering (Cluster analysis), NEUROENDOCRINE system, PATIENT management

This result is not displayed to guests.
Login for full access.